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The conventional steepest descent method in the back propagation process of an artificial neural network (ANN) is replaced by Simulated Evolution algorithm. This is called SimE-ANN and is applied to the estimation of landslide. In the experimental results, the errors of displacement and resistance of the piles in SimE-ANN are 50.2% and 28.0% smaller than those of the conventional ANN in average over 10 sets of data, respectively. However, the experimental results also show the effects of overtraining of SimE-ANN and the appropriate selection of training data should be investigated as future work.

Artificial Neural Network Based on Simulated Evolution and Its Application to Estimation of Landslide